Job Description
Shape the future by designing quantum-AI hybrid systems that solve humanity's greatest challenges. At Nexus Quantum Labs, we're pioneering the next technological revolution, and we need visionary architects to build the infrastructure for 2026 and beyond. Join our elite team of quantum physicists, machine learning experts, and computational engineers to develop scalable quantum neural networks, optimize quantum algorithms, and deploy real-world quantum-AI solutions across industries from healthcare to climate modeling.
We offer unparalleled resources, a cutting-edge research environment, and the opportunity to work alongside Nobel laureates and industry pioneers. Your work will directly influence the quantum computing roadmap and accelerate the transition from theoretical breakthroughs to practical applications.
Responsibilities
- Design and implement quantum-AI hybrid architectures for complex computational problems
- Develop quantum machine learning algorithms leveraging 50+ qubit systems
- Optimize quantum circuit performance using advanced error correction techniques
- Lead cross-functional teams in deploying quantum solutions to enterprise clients
- Pioneer new quantum neural network frameworks for pattern recognition
- Contribute to quantum hardware-software co-design initiatives
- Secure patents for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years building production quantum algorithms on platforms like IBM Q or Rigetti
- Expertise in quantum machine learning frameworks (Qiskit Aqua, PennyLane)
- Proficiency in Python, C++, and quantum programming languages
- Strong background in tensor networks and quantum information theory
- Published research in peer-reviewed quantum computing journals
- Experience leading quantum-AI integration projects